@Marvin i want to add packages with each specific version in a specific flow. What's the format?

To add specific package versions to a flow deployment, you'll need to specify these dependencies within your work pool configuration or directly in the deployment script. Here are the key points: 1. Work Pools: You can specify additional Python packages in the work pool configuration that will be applied to all deployments using the pool. Individual deployments can override this setting. Here's an example of how you might define a deployment configuration with specific package versions directly: 2. Deployment Script: Utilize the

.deploy()

method while specifying your dependencies. Here is a code snippet to demonstrate:

from prefect import flow

@flow(log_prints=True)
def my_flow():
    print("Flow is running with specific dependencies")

if __name__ == "__main__":
    my_flow.deploy(
        name="my_deployment",
        work_pool="my_managed_pool", # Specify your work pool
        python_dependencies=["package1==1.0.0", "package2==2.3.4"]  # Add your dependencies here
    )

For additional details, you can refer to the relevant Prefect documentation. Based on your workflow, you might want to check out the Prefect work pools tutorial for more insights on creating and managing work pools.

@Marvin what about in yaml file

To specify dependencies in a YAML file for a flow deployment, you can include them within the

build

or

job_variables

sections of the work pool or deployment configuration. Here’s an example of how to format your

prefect.yaml

file to add specific package versions:

yaml
# prefect.yaml
version: 1

build:
  - prefect_docker.deployments.steps.build_docker_image:
      id: build-image
      requires: prefect-docker>=0.3.0
      image_name: my-example-image
      tag: dev
      dockerfile: auto
      push: true

work_pools:
  my_docker_work_pool:
    name: my-docker-work-pool
    work_queue_name: default
    job_variables:
      image: "{{ build-image.image }}"
      python_dependencies:
        - package1==1.0.0
        - package2==2.3.4

deployments:
  - name: my_deployment
    work_pool: my_docker_work_pool
    entrypoint: flows/hello.py:my_flow
    parameters:
      number: 42
      message: "Don't panic!"

In this example: - work_pools section defines the work pool and specifies the Docker image to use as well as the Python dependencies. - deployments section references the work pool and other necessary deployment information like entrypoint and parameters. For additional information, you can refer to the Prefect deployment guide. Use this format to ensure your deployment has the required package versions.

@Marvin i want to add it under deployments for a specific flow

To add specific package versions under the

deployments

section for a specific flow in your

prefect.yaml

file, you can directly specify the dependencies within the deployment configuration. Here's an example:

yaml
# prefect.yaml
version: 1

deployments:
  - name: my_specific_deployment
    work_pool:
      name: my-docker-work-pool
      work_queue_name: default
    entrypoint: flows/hello.py:my_flow
    parameters:
      number: 42
      message: "Don't panic!"
    build:
      - prefect_docker.deployments.steps.build_docker_image:
          id: build-image
          requires: prefect-docker>=0.3.0
          image_name: my-example-image
          tag: dev
          dockerfile: auto
          push: true
    job_variables:
      python_dependencies:
        - package1==1.0.0
        - package2==2.3.4

In this example: - work_pool: Specifies the work pool configuration. - entrypoint: Points to the specific flow. - parameters: Defines the parameters for the flow. - build: Configures the Docker build step. - job_variables: Under this, we specify the

python_dependencies

to include the specific package versions required for the deployment. For more detailed information, consult the Prefect deployment guide.